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stats-test

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Full MLOps pipeline with DVC for data/model versioning, MLflow for experiment tracking, & Airflow DAGs orchestrating data ingestion, validation, feature engineering, training & evaluation. Integrated CI/CD using GitHub Actions to automate container builds & delivery workflows. Deploys trained model via Dockerhub to a local Kubernetes cluster.

  • Updated Nov 18, 2025
  • Jupyter Notebook

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